Alternative models for stock price dynamics Public Deposited

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Creator
  • Ghysels, Eric
    • Affiliation: College of Arts and Sciences, Department of Economics
  • Tauchen, George
    • Other Affiliation: Department of Economics, 305 Social Science, Box 90097, Duke University, Durham, NC 27708-0097, USA
  • Gallant, A. Ronald
    • Affiliation: College of Arts and Sciences, Department of Economics
  • Chernov, Mikhail
    • Other Affiliation: Columbia Business School, Division of Finance and Economics, 413 Uris Hall, 3022 Broadway, New York, NY 10027, USA
Abstract
  • This paper evaluates the role of various volatility specifications, such as multiple stochastic volatility (SV) factors and jump components, in appropriate modeling of equity return distributions. We use estimation technology that facilitates nonnested model comparisons and use a long data set which provides rich information about the conditional and unconditional distribution of returns. We consider two broad families of models: (1) the multifactor loglinear family, and(2) the affine-jump family. Both classes of models have attracted much attention in the derivatives and econometrics literatures. There are various tradeoffs in considering such diverse specifications. If pure diffusion SV models are chosen over jump diffusions, it has important implications for hedging strategies. If logarithmic models are chosen over affine ones, it may seriously complicate option pricing. Comparing many different specifications of pure diffusion multifactor models and jump diffusion models, we find that (1) log linear models have to be extended to two factors with feedback in the mean reverting factor, (2) affine models have to have a jump in returns, stochastic volatility or probably both. Models (1) and (2) are observationally equivalent on the data set in hand. In either (1) or (2) the key is that the volatility can move violently. As we obtain models with comparable empirical fit, one must make a choice based on arguments other than statistical goodness-of-fit criteria. The considerations include facility to price options, to hedge and parsimony. The affine specification with jumps in volatility might therefore be preferred because of the closed-form derivatives prices.
Date of publication
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Identifier
  • doi:10.1016/S0304-4076(03)00108-8
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Resource type
  • Article
Rights statement
  • In Copyright
Journal title
  • Journal of Econometrics
Journal volume
  • 116
Journal issue
  • 1-2
Page start
  • 225
Page end
  • 257
Language
  • English
Version
  • Postprint
ISSN
  • 0304-4076
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